Modern spatial intelligence systems—SLAM pipelines, neural rendering models, and 3D scene graph frameworks—remain fragmented. Each solves part of the perception problem, but none unify: Metric ...

Let's delve into the fascinating world of differentiable functions and how their graphs reveal a wealth of information about their behavior. The graph of a differentiable function, at first glance, ...

Abstract: We view graph centrality algorithms as differentiable processes and explore the implications of this lens.First, we revisit PageRank, an ubiquitous graph centrality algorithm, and consider ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

This important study introduces a fully differentiable variant of the Gillespie algorithm as an approximate stochastic simulation scheme for complex chemical reaction networks, allowing kinetic ...

CBSE 2025 Competency-Based Questions: The Central Board of Secondary Education (CBSE) has officially released the practice question paper for the academic year 2024-25, for the class 12th on its ...

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The work reported in this note was done while the author was a fellow of the John Simon Guggenheim Memorial Foundation on leave of absence from the University of Brazil, Rio de Janeiro. This work was ...